Triple

T12761036
Position Surface form Disambiguated ID Type / Status
Subject Central Bank of Cuba E304994 entity
Predicate abbreviation P43 FINISHED
Object BCC
BCC is the Central Bank of Cuba, responsible for the country’s monetary policy, currency issuance, and financial system oversight.
 E1001853 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BCC | Statement: [Central Bank of Cuba, abbreviation, BCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BCC
Context triple: [Central Bank of Cuba, abbreviation, BCC]
  • A. BCC
    BCC is the National Rail station code assigned to Beccles railway station in Suffolk, England.
  • B. BCC
    BCC is a public community college in the Bronx, New York City, offering associate degree and certificate programs as part of the City University of New York (CUNY) system.
  • C. BCC
    BCC is a well-regarded public high school located in Bethesda, Maryland, known for its strong academics and diverse student body.
  • D. BCC
    BCC is the acronym for the Central Bank of the Congo, the institution responsible for issuing currency and overseeing monetary policy in the Democratic Republic of the Congo.
  • E. B-CC
    B-CC is a public high school in Bethesda, Maryland, known for its rigorous academics, diverse student body, and strong arts and athletics programs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BCC
Triple: [Central Bank of Cuba, abbreviation, BCC]
Generated description
BCC is the Central Bank of Cuba, responsible for the country’s monetary policy, currency issuance, and financial system oversight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BCC
Target entity description: BCC is the Central Bank of Cuba, responsible for the country’s monetary policy, currency issuance, and financial system oversight.
  • A. BCC
    BCC is a public community college in the Bronx, New York City, offering associate degree and certificate programs as part of the City University of New York (CUNY) system.
  • B. BCC
    BCC is a well-regarded public high school located in Bethesda, Maryland, known for its strong academics and diverse student body.
  • C. BCC
    BCC is the National Rail station code assigned to Beccles railway station in Suffolk, England.
  • D. BCC
    BCC is the acronym for the Central Bank of the Congo, the institution responsible for issuing currency and overseeing monetary policy in the Democratic Republic of the Congo.
  • E. B-CC
    B-CC is a public high school in Bethesda, Maryland, known for its rigorous academics, diverse student body, and strong arts and athletics programs.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f08fac8190b8c480619696bcd1 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:28 p.m.